dialogue-summary-peft-mem

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 10

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.17.0
• Tokenizers 0.15.2